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Job details

Data Engineer

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Active Secret

What You Will Do:

The Data Engineer will join a dynamic team supporting a global implementation of IT systems at the Department of State. In this role, the candidate will review and support the client’s data policies, processes, and standards to identify strengths and areas for improvement and provide recommendations for the current and future architecture to support data and analytical needs. The candidate will also collect, transform, integrate, and analyze data to identify trends, assess performance, and develop visualizations in support of organizational and mission goals and data-driven decision-making for the client.

Responsibilities may include:

  • Develop and maintain data governance documentation, tools, and templates.

  • Define data requirements and ensure storage, availability, and coherence of electronically stored information meets the client’s needs.

  • Develop data pipelines involving collecting, transforming, cleaning, and validating data from multiple sources.

  • Coordinate with non-technical users to gather requirements.

  • Identify, summarize, and catalog data fidelity issues, and make recommendations to the client on how to resolve or mitigate the issues.

  • Develop intuitive, attractive, and interactive data visualizations using large data sets to create dashboards, using tools such as Tableau and Power BI, for a diverse set of users with varying technical capabilities.

  • Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.

  • Support hybrid work environments involving work on client site, in a Guidehouse office, and remote.


What You Will Need:

  • An ACTIVE and MAINTAINED SECRET Federal or DoD security clearance.

  • Bachelor's degree

  • THREE (3) years’ experience in hands-on data engineering and/or database management

  • Understanding of relational database concepts and structures

  • Demonstrated ability to perform data blending, joining, and cleaning to ensure accurate and usable datasets using querying or data engineering software tools, such as SQL, Palantir, etc.

  • Experience reading and cleaning data from external tables and importing it into relational database tables.

  • Ability to detect data issues affecting the performance of data pipelines and devise techniques for resolving or mitigating them.


What Would Be Nice To Have:

  • Knowledge of Archibus and/or Kahua.

  • Proficiency in querying and joining datasets using SQL.

  • Proficiency developing data pipelines using Palantir.

  • Proficiency in data wrangling and analysis using Python.

  • Proficiency developing dashboards using Tableau or Power BI.

  • Experience utilizing Robotic Process Automation (RPA) tools to streamline and automate workflows.

  • Proficiency in programming with Excel Visual Basic for Applications (VBA).

  • Experience supporting Department of State and/or understanding of the nomenclature and organizational structure of offices within the Department of State.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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Average salary estimate

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$80000K
$110000K

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What You Should Know About Data Engineer, Guidehouse

As a Data Engineer at Guidehouse, based in Arlington, VA, you will be joining a vibrant team dedicated to transforming the way the Department of State manages its data. This dynamic role invites you to dive into a world of data governance, where you'll be pivotal in shaping the architectural strategies that meet user needs for analytical excellence. Your daily tasks will involve collecting, transforming, and analyzing data from various sources to provide insights that enhance organizational performance. A significant part of your efforts will go into developing interactive dashboards and visualizations using tools like Tableau and Power BI, catering to diverse user abilities. You will also work closely with both technical and non-technical stakeholders to ensure that data policies and processes are robust and clear. In addition, if you enjoy tackling challenges, you’ll appreciate identifying data issues and contributing to solutions that improve the overall quality of our datasets. You’ll be supporting a flexible working environment as you balance your time between client sites, Guidehouse offices, and remote work. This role requires an active Secret clearance and a knack for data engineering—which, if you have three years of relevant experience and a Bachelor’s degree, could lead to exciting opportunities at Guidehouse!

Frequently Asked Questions (FAQs) for Data Engineer Role at Guidehouse
What are the main responsibilities of a Data Engineer at Guidehouse?

As a Data Engineer at Guidehouse, you will develop data pipelines, maintain data governance documentation, and create interactive dashboards. You will also collect and analyze data to support decision-making, interface with non-technical users for requirements gathering, and identify data quality issues to ensure accurate performance.

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What qualifications do I need to apply for the Data Engineer position at Guidehouse?

To apply for the Data Engineer role at Guidehouse, you need an active Secret Federal or DoD security clearance, a Bachelor's degree, and a minimum of three years of hands-on experience in data engineering or database management. Familiarity with SQL and data visualization tools is highly beneficial.

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How does Guidehouse support data-driven decision-making in the Data Engineer role?

Guidehouse emphasizes data-driven decision-making by equipping Data Engineers with the tools necessary for data analysis and visualization. As a Data Engineer, you'll collect and clean data to extract insights that guide client strategies, thus ensuring that key decisions are informed by reliable data.

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What kind of work environment can a Data Engineer expect at Guidehouse?

Data Engineers at Guidehouse can expect a hybrid work environment, balancing work on client sites, Guidehouse offices, and remote settings. This flexibility is ideal for collaborative efforts while also allowing the individual to work independently when needed.

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What tools and technologies will I work with as a Data Engineer at Guidehouse?

In the Data Engineer position at Guidehouse, you will have the opportunity to work with various tools like SQL for data querying, Palantir for data pipelines, and Tableau or Power BI for data visualization. Familiarity with Python and Robotic Process Automation (RPA) tools would also be advantageous.

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Common Interview Questions for Data Engineer
Can you describe your experience with data pipelines in your previous projects?

When discussing your experience with data pipelines, focus on specific tools you've used, such as SQL or Palantir, and describe the processes you followed for collecting, transforming, and validating data. Highlight any challenges you faced and how you resolved them.

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What steps do you take to ensure data quality in your work?

To ensure data quality, I prioritize establishing robust data governance practices, performing regular audits of data, and employing validation checks during data transformation. I believe in documenting any issues thoroughly and proactively addressing them to maintain data integrity.

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How do you approach collaboration with non-technical teams?

I find that clear communication is key when collaborating with non-technical teams. I make it a point to use simple language, provide visual aids where possible, and conduct regular check-ins to ensure that their requirements are fully understood and met.

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What visualization tools do you prefer and why?

I have experience with both Tableau and Power BI. I prefer Tableau for its user-friendly interface and powerful visual capabilities, which enable me to create compelling dashboards that tell a story. Power BI, on the other hand, is excellent for its seamless integration with Microsoft products.

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How do you stay updated on the latest data engineering trends?

I regularly follow industry publications, participate in online forums, and attend webinars or workshops. Continuing education is essential in the rapidly changing field of data engineering, and I also value networking with other professionals to share insights and best practices.

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Describe a time you identified a data issue and how you resolved it.

In a past role, I identified discrepancies in incoming data that significantly affected our reports. I conducted a root cause analysis, collaborated with the data source provider to rectify the issue, and implemented new checks to prevent similar problems, which enhanced the overall data quality.

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What programming languages or tools do you find most useful in data engineering?

I find SQL indispensable for database querying, while Python is fantastic for data wrangling and analyses. Additionally, I utilize data visualization tools like Tableau or Power BI to present data effectively, which I believe is crucial for communicating insights.

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Can you explain what data governance documentation involves?

Data governance documentation involves outlining the policies, standards, and procedures that dictate how data is managed within the organization. It serves to ensure that data is accurate, available, and secure, providing clear guidelines for all stakeholders involved.

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How would you handle a situation where project requirements change?

In situations of changing requirements, I prioritize maintaining open lines of communication with stakeholders. I assess the impact of these changes on existing work, document new requirements in detail, and collaboratively adjust my approach to meet the updated expectations.

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What role does creativity play in your work as a Data Engineer?

Creativity plays a significant role in my work, especially in data visualization, where I need to find unique ways to present complex data in an easily digestible form. Additionally, approaching problem-solving creatively allows me to devise innovative solutions while handling data challenges.

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DATE POSTED
April 10, 2025

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